Dataset from Reese et al.: "Local Mixing Determines Spatial Structure of Diahaline Exchange Flow in a Mesotidal Estuary: A Study of Extreme Runoff Conditions" - PART 1

Model data from the numerical setup of the tidal Elbe presented in Reese et al. (2023): "Local Mixing Determines Spatial Structure of Diahaline Exchange Flow in a Mesotidal Estuary: A Study of Extreme Runoff Conditions" [1]
PART 1
Each file contains data for a full month, as given through the file naming convention: description.YYYYMMDD.nc4
The numerical model uses terrain-following sigma coordniates, with sigma level 0 being the bottommost layer.
Certain variables are also given in salinity class bins of dimension salt_s instead of vertical coordinates.
Explanation of each data type:

 2D_elv_all: Spatially resolved simulated surface elevation from 08/2012 to 12/2013: Tidal analysis Fig. 4, Table 1 (simulated surface elevation vs. time)

5 min snapshots
Elbe_dia_getm_all: Diahaline analysis Fig. 8, 11: on-line GETM computation of u_dia,z^S in September 2012 and June 2013

44700s temporal resolution (M2 tidal period); averaged over each period
Elbe_TEF_mean_all: Total Exchange Flow analysis in  September 2012 and June 2013, Fig.s 7, 8

1-hourly averages
Mixing_mean_all: Physical and numerical Mixing from 08/2012 to 12/2013. Fig. 7, 8, 9, 10, 11

44700s temporal resolution (M2 tidal period); averaged over each period
ST_stations: Surface elevation at given location for comparison with observational data at named station from 08/2012 to 12/2013

5 min snapshots
SST_stations: Salinity and temperature at given location for comparison with observational data at named station from 08/2012 to 12/2013; Fig. 3, Fig. 5, Table 2

30-min snapshots

[1] L. Reese, U. Graewe, K. Klingbeil, X. Li, M. Lorenz, H. Burchard, 2023:
   Local mixing determines spatial structure of diahaline exchange flow in a
   mesotidal estuary – a study of extreme runoff conditions.
   J. Phys. Oceanogr., in press.